search for: point_format

...on as 127/127 and 254/127 (but I would do regression on the integer values). Or I could use 16 bits, doubling memory load and improving precision. It would be convenient if R could work with half-precision floating-point numbers (binary16): http://en.wikipedia.org/wiki/Half_precision_floating-point_format Can R do that? If not, is anyone interested in working on developing some of these features in R? We have GPL code from PLINK and Octave that might help a lot. http://www.gnu.org/software/octave/doc/interpreter/Integer-Data-Types.html Best, Mike -- Michael B. Miller, Ph.D. Bioinformatics S...

I would like to increase the precision/accuracy of R. That is, I'm dealing with numbers exceedingly close to 1, and I would like to increase the number of significant digits used in computation. In matlab, you can use vpa() to accomplish this. I'm wondering if there's an equivalent or a workaround in R. Greg

Dear All, I am running a r code on 32bit win, involving absolutely small numbers. Although I tried sth like the ratio of numers like 10^(-100) and did not have issue to get the correct answer, but still a little concerned about it. Could anyone give some suggestion or have any experience? Best wishes, Jie [[alternative HTML version deleted]]

Dear R-users: Hi, I read here ( http://stackoverflow.com/questions/2287616/controlling-digits-in-r) that R is only accurate up to the 15th decimal place, despite the fact that if you choose to display more decimal places, it will. I wonder if R uses the information beyond the 15th decimal place in actual computation. Thanks! Best, Xiao [[alternative HTML version deleted]]